layer_id
int64 0
223
| name
stringlengths 26
32
| D
float64 0.07
0.18
| M
int64 1.02k
4.1k
| N
int64 4.1k
14.3k
| Q
float64 1
4
| alpha
float64 1.67
8.98
| alpha_weighted
float64 -8.36
1.59
| entropy
float64 0.8
1.31
| has_esd
bool 1
class | lambda_max
float32 0.03
5.52
| layer_type
stringclasses 1
value | log_alpha_norm
float64 -8.25
1.61
| log_norm
float32 -0.65
1.02
| log_spectral_norm
float32 -1.47
0.74
| matrix_rank
int64 64
64
| norm
float32 0.22
10.5
| num_evals
int64 1.02k
4.1k
| num_pl_spikes
int64 5
24
| rank_loss
int64 960
4.03k
| rf
int64 1
1
| sigma
float64 0.14
3.57
| spectral_norm
float32 0.03
5.52
| stable_rank
float32 1.46
10.7
| status
stringclasses 1
value | sv_max
float64 0.18
2.35
| sv_min
float64 0
0
| warning
stringclasses 3
values | weak_rank_loss
int64 960
4.03k
| xmax
float64 0.03
5.52
| xmin
float64 0
0.72
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
200 | model.layers.28.self_attn.o_proj | 0.12892 | 4,096 | 4,096 | 1 | 2.506884 | -1.574493 | 1.282959 | true | 0.235468 | dense | -1.043243 | 0.256452 | -0.628068 | 64 | 1.804895 | 4,096 | 15 | 4,032 | 1 | 0.389076 | 0.235468 | 7.665133 | success | 0.485251 | 0 | 4,032 | 0.235468 | 0.049937 |
|
201 | model.layers.28.self_attn.q_proj | 0.10346 | 4,096 | 4,096 | 1 | 2.084026 | -0.415992 | 1.217541 | true | 0.631524 | dense | -0.203901 | 0.365366 | -0.19961 | 64 | 2.319349 | 4,096 | 14 | 4,032 | 1 | 0.289718 | 0.631524 | 3.672619 | success | 0.794685 | 0 | 4,032 | 0.631524 | 0.040083 |
|
202 | model.layers.28.self_attn.v_proj | 0.098368 | 1,024 | 4,096 | 4 | 2.408356 | -2.497918 | 0.925736 | true | 0.091793 | dense | -2.172091 | -0.253651 | -1.037188 | 64 | 0.557634 | 1,024 | 12 | 960 | 1 | 0.406557 | 0.091793 | 6.07487 | success | 0.302974 | 0.000002 | 960 | 0.091793 | 0.013395 |
|
203 | model.layers.29.mlp.down_proj | 0.151493 | 4,096 | 14,336 | 3.5 | 2.732232 | -0.073151 | 1.233216 | true | 0.940214 | dense | 0.033981 | 0.584996 | -0.026773 | 64 | 3.845881 | 4,096 | 11 | 4,032 | 1 | 0.522288 | 0.940214 | 4.090432 | success | 0.969646 | 0.000002 | 4,032 | 0.940214 | 0.136228 |
|
204 | model.layers.29.mlp.gate_proj | 0.091953 | 4,096 | 14,336 | 3.5 | 2.285684 | 1.186843 | 1.156374 | true | 3.305602 | dense | 1.286456 | 0.994632 | 0.519251 | 64 | 9.877154 | 4,096 | 11 | 4,032 | 1 | 0.387648 | 3.305602 | 2.988004 | success | 1.818132 | 0.000003 | 4,032 | 3.305602 | 0.258566 |
|
205 | model.layers.29.mlp.up_proj | 0.10023 | 4,096 | 14,336 | 3.5 | 2.895639 | 0.583532 | 1.223461 | true | 1.590453 | dense | 0.776132 | 0.883571 | 0.201521 | 64 | 7.648403 | 4,096 | 11 | 4,032 | 1 | 0.571557 | 1.590453 | 4.808946 | success | 1.261132 | 0.000003 | 4,032 | 1.590453 | 0.290632 |
|
206 | model.layers.29.self_attn.k_proj | 0.107998 | 1,024 | 4,096 | 4 | 2.726053 | -2.266054 | 0.859123 | true | 0.147483 | dense | -2.151937 | -0.215133 | -0.831258 | 64 | 0.60935 | 1,024 | 8 | 960 | 1 | 0.610252 | 0.147483 | 4.131664 | success | 0.384035 | 0.000001 | 960 | 0.147483 | 0.024483 |
|
207 | model.layers.29.self_attn.o_proj | 0.169268 | 4,096 | 4,096 | 1 | 2.36546 | -1.35828 | 1.28528 | true | 0.266555 | dense | -0.8389 | 0.298011 | -0.574214 | 64 | 1.986146 | 4,096 | 15 | 4,032 | 1 | 0.35256 | 0.266555 | 7.451181 | success | 0.516289 | 0 | 4,032 | 0.266555 | 0.051064 |
|
208 | model.layers.29.self_attn.q_proj | 0.091264 | 4,096 | 4,096 | 1 | 2.397726 | -0.313631 | 1.193404 | true | 0.73994 | dense | -0.249444 | 0.329836 | -0.130804 | 64 | 2.137153 | 4,096 | 11 | 4,032 | 1 | 0.42143 | 0.73994 | 2.888279 | success | 0.860198 | 0 | 4,032 | 0.73994 | 0.053607 |
|
209 | model.layers.29.self_attn.v_proj | 0.104425 | 1,024 | 4,096 | 4 | 2.038766 | -1.974938 | 0.931877 | true | 0.107475 | dense | -1.643125 | -0.209484 | -0.968693 | 64 | 0.617327 | 1,024 | 18 | 960 | 1 | 0.24484 | 0.107475 | 5.743917 | success | 0.327834 | 0.000001 | 960 | 0.107475 | 0.007843 |
|
210 | model.layers.30.mlp.down_proj | 0.139067 | 4,096 | 14,336 | 3.5 | 3.757066 | -0.495963 | 1.232036 | true | 0.737891 | dense | -0.456677 | 0.465583 | -0.132008 | 64 | 2.921347 | 4,096 | 6 | 4,032 | 1 | 1.125567 | 0.737891 | 3.959052 | success | 0.859006 | 0.000002 | 4,032 | 0.737891 | 0.200678 |
|
211 | model.layers.30.mlp.gate_proj | 0.080347 | 4,096 | 14,336 | 3.5 | 2.234833 | 1.192784 | 1.152827 | true | 3.417622 | dense | 1.276334 | 0.984485 | 0.533724 | 64 | 9.64905 | 4,096 | 12 | 4,032 | 1 | 0.356466 | 3.417622 | 2.823323 | success | 1.848681 | 0.000003 | 4,032 | 3.417622 | 0.222564 |
|
212 | model.layers.30.mlp.up_proj | 0.095443 | 4,096 | 14,336 | 3.5 | 3.04933 | 0.381684 | 1.234904 | true | 1.334043 | dense | 0.593896 | 0.848949 | 0.12517 | 64 | 7.062346 | 4,096 | 12 | 4,032 | 1 | 0.591591 | 1.334043 | 5.293941 | success | 1.155008 | 0.000003 | 4,032 | 1.334043 | 0.272604 |
|
213 | model.layers.30.self_attn.k_proj | 0.111791 | 1,024 | 4,096 | 4 | 2.061986 | -1.966156 | 0.872462 | true | 0.111295 | dense | -1.553825 | -0.20159 | -0.953525 | 64 | 0.628651 | 1,024 | 14 | 960 | 1 | 0.283828 | 0.111295 | 5.648523 | success | 0.333609 | 0.000002 | 960 | 0.111295 | 0.010853 |
|
214 | model.layers.30.self_attn.o_proj | 0.084798 | 4,096 | 4,096 | 1 | 2.468398 | -0.885358 | 1.254506 | true | 0.437848 | dense | -0.718474 | 0.277156 | -0.358677 | 64 | 1.893023 | 4,096 | 15 | 4,032 | 1 | 0.379139 | 0.437848 | 4.323475 | success | 0.661701 | 0 | 4,032 | 0.437848 | 0.045794 |
|
215 | model.layers.30.self_attn.q_proj | 0.104324 | 4,096 | 4,096 | 1 | 1.75768 | -0.081979 | 1.157555 | true | 0.898172 | dense | 0.134129 | 0.435456 | -0.046641 | 64 | 2.725559 | 4,096 | 17 | 4,032 | 1 | 0.183764 | 0.898172 | 3.034564 | success | 0.947719 | 0 | over-trained | 4,032 | 0.898172 | 0.020552 |
216 | model.layers.30.self_attn.v_proj | 0.135548 | 1,024 | 4,096 | 4 | 2.484779 | -2.799054 | 0.964251 | true | 0.074734 | dense | -2.387833 | -0.227976 | -1.12648 | 64 | 0.591594 | 1,024 | 13 | 960 | 1 | 0.411804 | 0.074734 | 7.915963 | success | 0.273376 | 0.000002 | 960 | 0.074734 | 0.014467 |
|
217 | model.layers.31.mlp.down_proj | 0.139677 | 4,096 | 14,336 | 3.5 | 2.55047 | -1.501365 | 1.300707 | true | 0.257833 | dense | -1.241886 | 0.162989 | -0.588662 | 64 | 1.455421 | 4,096 | 12 | 4,032 | 1 | 0.447582 | 0.257833 | 5.644826 | success | 0.507772 | 0.000002 | 4,032 | 0.257833 | 0.044917 |
|
218 | model.layers.31.mlp.gate_proj | 0.136508 | 4,096 | 14,336 | 3.5 | 2.399457 | 0.334437 | 1.241044 | true | 1.378416 | dense | 0.634721 | 0.867715 | 0.13938 | 64 | 7.374207 | 4,096 | 15 | 4,032 | 1 | 0.361338 | 1.378416 | 5.349769 | success | 1.17406 | 0.000003 | 4,032 | 1.378416 | 0.192013 |
|
219 | model.layers.31.mlp.up_proj | 0.091542 | 4,096 | 14,336 | 3.5 | 3.785782 | -0.541433 | 1.273104 | true | 0.71942 | dense | -0.298355 | 0.721229 | -0.143018 | 64 | 5.262949 | 4,096 | 12 | 4,032 | 1 | 0.804186 | 0.71942 | 7.315546 | success | 0.848186 | 0.000003 | 4,032 | 0.71942 | 0.234325 |
|
220 | model.layers.31.self_attn.k_proj | 0.077276 | 1,024 | 4,096 | 4 | 2.117042 | -1.532688 | 0.828348 | true | 0.18881 | dense | -1.427048 | -0.219158 | -0.723976 | 64 | 0.603729 | 1,024 | 13 | 960 | 1 | 0.309812 | 0.18881 | 3.197556 | success | 0.434522 | 0.000001 | 960 | 0.18881 | 0.009959 |
|
221 | model.layers.31.self_attn.o_proj | 0.111155 | 4,096 | 4,096 | 1 | 2.824456 | -1.847414 | 1.303495 | true | 0.22178 | dense | -1.432091 | 0.220873 | -0.654078 | 64 | 1.662927 | 4,096 | 15 | 4,032 | 1 | 0.471073 | 0.22178 | 7.498093 | success | 0.470935 | 0 | 4,032 | 0.22178 | 0.051514 |
|
222 | model.layers.31.self_attn.q_proj | 0.091619 | 4,096 | 4,096 | 1 | 1.825198 | 0.041611 | 1.135999 | true | 1.053897 | dense | 0.179001 | 0.439197 | 0.022798 | 64 | 2.749143 | 4,096 | 18 | 4,032 | 1 | 0.194501 | 1.053897 | 2.608551 | success | 1.026595 | 0 | over-trained | 4,032 | 1.053897 | 0.020424 |
223 | model.layers.31.self_attn.v_proj | 0.074064 | 1,024 | 4,096 | 4 | 2.284005 | -2.16286 | 0.935486 | true | 0.11299 | dense | -1.909721 | -0.216392 | -0.946959 | 64 | 0.607586 | 1,024 | 16 | 960 | 1 | 0.321001 | 0.11299 | 5.377332 | success | 0.33614 | 0.000002 | 960 | 0.11299 | 0.009934 |